Yatao Li

Abstract Shear strain energy is a pivotal physical quantity in the occurrence of earthquakes and rockbursts during deep mining operations. This research is focused on understanding the changes in shear strain energy in the context of retreating longwall mining, which is essential for the optimized design and mitigation of rockbursts and seismic events. Through the application of innovative analytical models, this study expands its analytical range to include the variations in shear strain energy

Assessing the risk of fault-slip rockburst is crucial for ensuring the safety of mining operations and effectively mitigating potential disasters. In this study, we propose an integrated 3-D numerical modeling framework combining the virtual fault (VF), 3-D Mohr–Coulomb criterion model (MC), and slip weakening model (SW) to investigate the dynamics of fault failure and coseismic slip induced by mining activities near faults. Our research focuses on the fault stress ratio (k) and how it responds

This study presents a comprehensive numerical analysis of dynamic rupture and fault-induced seismic risks in deep roadway excavation environments, focusing on near-fault conditions. A quantitative assessment was conducted for faults within 5 m of the roadway, a critical range for evaluating heightened seismic risks. Our results demonstrate that within this proximity, fault slip and seismic moment increase significantly, with peak fault slip reaching 17.1 mm and seismic moment exceeding 3.9 × 10<

Shear strain energy, a critical factor in the occurrence of earthquakes and rockbursts, plays a vital role in deep mining operations. This study investigates the spatial distribution of shear strain energy (E_s) in mining-induced fault coseismic slip and its implications for rockburst risk assessment, offering a novel perspective. We thoroughly explore the dynamics of E_s, which are critical to seismic activity and rockburst phenomena in deep mining operations. By integrating

Seismic hazards induced by deep roadway excavation pose serious threats to underground stability, especially in ultra-close fault environments. To address this, we propose a fully coupled three-dimensional (3D) dynamic modeling framework that resolves excavation-induced stress changes, fault rupture, and seismic wave propagation at near-source resolution. The model quantitatively captures excavation-induced dynamic instability via coseismic slip and seismic moment. Parametric analyses show that

With the progressive depletion of coal resources, the recovery of shaft pillars has become an important means of improving resource utilization and reducing waste. Taking the main shaft pillar recovery of the Longxiang Coal Mine at the stage of mine closure as the engineering background, this study systematically investigates ground subsidence prediction and shaft stability control under strip mining with symmetrical extraction. An improved subsidence prediction model was established by integrat